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Tips for MySQL Performance
in 30mn
AFUP
20 Janvier 2015
Olivier Zemrag
MySQL Architect
About me
Wonderful 18 Years of IT Technology
More than 10 Years with MySQL family
Worked with startups large compagnie such as L’OREAL, ALCATEL,
ORANGE, ...
MySQL & open source user since 2000
MySQL Consultant in 2006 at ANASKA
MySQL consultant at SUN in 2008
6 years member of MySQL Oracle Team
Now MySQL Architect
Agenda
Introduction
Configuration
Hardware
Design
MySQL popularity performance
http://db-engines.com
Find the 'next' Bottleneck
Bench your work load
Test test test
Monitor monitor monitor
Think cost / effort
Change one thing at a time
Test test test
Monitor monitor monitor
Configuration
● Buffer pool
● Log file size
● Other variables
Use large Buffer Pool
● The most important variable with InnoDB
Example : for 32G use 20G for
innodb_buffer_pool_size (or even more)
● Be aware off swaping  and other settings !!
Tunne Innodb Log files
For .write heavy workloads use big
Innodb_log_file_size
Be aware of time of restart process
Take caution when you change it
Other variables
● innodb_file_per_table=1
● innodb_stat_on_metadata=OFF
● Check :
– Innodb_flush_at_trx_commit (Durability)
– innodb_flush_method (O_DIRECT)
– skip_name_resolved
● Leave all other variables to default unless you
know what you do or change per session only
hardware
● RAM
● CPU
● Storage
CPU
● Faster is better for query response time
● More cores for more concurrency
MEMORY
● Size of the frequently used data (working set)
● Check response time and throughput
Storage
● RAID10
● SSD
● Fusion IO
● SAN
● Mix :
– HDD : log-bin, log-files
– SSD : datadir, innodb_undo_directory, tmpdir
Design
● Optmize, purge, archive data
● Proper Indexation
● Proper usage of temporary tables
– Example of usage of performance_schema to find
queries creating temporary tables (version 5.6)
SELECT * FROM
events_statements_summary_by_digest
WHERE SUM_CREATED_TMP_TABLES > 0
Other Tips & Futures
● Optimize your OS, Optimize your Network
● NoSQL with memcached & InnoDB
● NDB (MySQL Cluster) for high write workloads
● Mix & match InnoDB, memcacehd, NDB Cluster
● MySQL Fabric for sharding
Merci
Questions ?
Olivier Zemrag
http://ozemrag.blogspot.fr/

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Tips for Optimizing MySQL Performance in 30 Minutes

  • 1. Tips for MySQL Performance in 30mn AFUP 20 Janvier 2015 Olivier Zemrag MySQL Architect
  • 2. About me Wonderful 18 Years of IT Technology More than 10 Years with MySQL family Worked with startups large compagnie such as L’OREAL, ALCATEL, ORANGE, ... MySQL & open source user since 2000 MySQL Consultant in 2006 at ANASKA MySQL consultant at SUN in 2008 6 years member of MySQL Oracle Team Now MySQL Architect
  • 5. Find the 'next' Bottleneck Bench your work load Test test test Monitor monitor monitor Think cost / effort Change one thing at a time Test test test Monitor monitor monitor
  • 6. Configuration ● Buffer pool ● Log file size ● Other variables
  • 7. Use large Buffer Pool ● The most important variable with InnoDB Example : for 32G use 20G for innodb_buffer_pool_size (or even more) ● Be aware off swaping  and other settings !!
  • 8. Tunne Innodb Log files For .write heavy workloads use big Innodb_log_file_size Be aware of time of restart process Take caution when you change it
  • 9. Other variables ● innodb_file_per_table=1 ● innodb_stat_on_metadata=OFF ● Check : – Innodb_flush_at_trx_commit (Durability) – innodb_flush_method (O_DIRECT) – skip_name_resolved ● Leave all other variables to default unless you know what you do or change per session only
  • 11. CPU ● Faster is better for query response time ● More cores for more concurrency
  • 12. MEMORY ● Size of the frequently used data (working set) ● Check response time and throughput
  • 13. Storage ● RAID10 ● SSD ● Fusion IO ● SAN ● Mix : – HDD : log-bin, log-files – SSD : datadir, innodb_undo_directory, tmpdir
  • 14. Design ● Optmize, purge, archive data ● Proper Indexation ● Proper usage of temporary tables – Example of usage of performance_schema to find queries creating temporary tables (version 5.6) SELECT * FROM events_statements_summary_by_digest WHERE SUM_CREATED_TMP_TABLES > 0
  • 15. Other Tips & Futures ● Optimize your OS, Optimize your Network ● NoSQL with memcached & InnoDB ● NDB (MySQL Cluster) for high write workloads ● Mix & match InnoDB, memcacehd, NDB Cluster ● MySQL Fabric for sharding